Belief networks provide an important bridge between statistical modeling and expert systems. In this paper we present methods for visualizing probabilistic “evidence flows” in belief networks, thereby enabling belief networks to explain their behavior. Building on earlier research on explanation in expert systems, we present a hierarchy of explanations, ranging from simple colorings to detailed...

One important role of belief systems is to allow us to represent information about a certain domain of inquiry. This paper presents a formal framework to accommodate such information representation. Three cognitive models to represent information are discussed: conceptual spaces (Gärdenfors [2000]), state-spaces (van Fraassen [1991]), and the problem spaces familiar from artificial intelligence...

In a multiagent system, conflicts may arise because of two basic reasons: 1) different agents have contrasting goals; 2) different agents have inconsistent knowledge. This situation can originate when agents are autonomous and strongly motivated by their own interests, and when heterogeneous agents, with different skills, ‘histories’ and beliefs, coexist in a dynamic environment. This paper is ...

Some of the world’s violent conflicts are mainly economic, territorial or tribal. But many seem to come, at least in part, from conflicts between the belief systems of different groups. How far do these differences have to be accepted as a brute fact, and how far is it possible to transcend them? How far is fruitful dialogue possible between members of conflicting national or religious groups w...

Assisting a client to change their belief system has shown to be positively correlated with one’s mental health. Therefore, many therapists might agree that one goal of therapy is for their client to change their own belief systems in order to experience positive change. So then why, when confronted with a new experience or new information, does one individual choose to change their belief syst...

Deep learning is the subset of artificial intelligence and it used for effective decision making. Wireless Sensor based automated irrigation system proposed to monitor cultivate crop. Our consists Distributed wireless sensor environment handle moisture soil temperature levels. It process useful minimizing usage resources such as water level, quality soil, fertilizer values controlling whole sys...

The study of belief change has been an active area in philosophy and AI. In recent years two special cases of belief change, belief revision and belief update, have been studied in detail. In a companion paper Friedman and Halpern 1995a], we introduce a new framework to model belief change. This framework combines temporal and epistemic modalities with a notion of plausibility, allowing us to e...

We investigate modal systems for knowledge and belief, taking as a starting point a logic that was originally introduced by Kraus and Lehmann. We derive several properties and discuss (their) consequences for the epistemic operators. Kraus and Lehmann observed that adding the axiom B,(f —+ B,K,(p to the system gives a collapse of knowledge and belief: (Kitp +* Bi<p). We investigate the cause(s)...